A 15-year climatology of wind pattern impacts on surface ozone in Houston, Texas

Abstract Houston is recognized for its large petrochemical industrial facilities providing abundant radicals for tropospheric ozone formation. Fortunately, maximum daily 8-h average (MDA8) surface ozone concentrations have declined in Houston (− 0.6 ± 0.3 ppbv yr − 1 ) during the summers (i.e., May to September) of 2000 to 2014, possibly due to the reductions in precursor emissions by effective control policies. However, it is also possible that changes in meteorological variables have affected ozone concentrations. This study focused on the impact of long-term wind patterns which have the highest impact on ozone in Houston. The analysis of long-term wind patterns can benefit surface ozone studies by 1) providing wind patterns that distinctly changed ozone levels, 2) investigating the frequency of patterns and the respective changes and 3) estimating ozone trends in specific wind patterns that local emissions are mostly involved, thus separating emissions impacts from meteorology to some extent. To this end, the 900-hPa flow patterns in summers of 2000 to 2014 were clustered in seven classes (C1–C7) by deploying an unsupervised partitioning method. We confirm the characteristics of the clusters from a backward trajectory analysis, monitoring networks, and a regional chemical transport model simulation. The results indicate that Houston has experienced a statistically significant downward trend (− 0.6 ± 0.4 day yr − 1 ) of the cluster of weak easterly and northeasterly days (C4), when the highest fraction of ozone exceedances (MDA8 > 70 ppbv) occurred. This suggests that the reduction in ozone precursors was not the sole reason for the decrease in ozone exceedance days (− 1.5 ± 0.6 day yr − 1 ). Further, to examine the efficiency of control policies intended to reduce the amount of ozone, we estimated the trend of MDA8 ozone in C4 and C5 (weak winds) days when local emissions are primarily responsible for high ambient ozone levels. Both C4 and C5 show a large reduction in the 95th percentile and summertime trends mainly due to effective control strategies. Based on the 5th percentile daytime ozone for C1 (strong southeasterly wind) in coastal sites, this study found that the cleanest air masses that Houston received became more polluted during the summer of 2000–2014 by 1–3 ppbv. Though this study focused on Houston, the analysis method presented could generally be used to estimate ozone trends in other regions where surface ozone is dominantly influenced by both wind patterns and local emissions.

[1]  Qing Yang,et al.  Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models , 1998 .

[2]  D. Byun,et al.  Classification of Weather Patterns and Associated Trajectories of High-Ozone Episodes in the Houston–Galveston–Brazoria Area during the 2005/06 TexAQS-II , 2011 .

[3]  David S. Lee,et al.  Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application , 2010 .

[4]  Andreas Hilboll,et al.  Long-term changes of tropospheric NO 2 over megacities derived from multiple satellite instruments , 2012 .

[5]  D. Byun,et al.  Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System , 2006 .

[6]  D. Parrish,et al.  Contributions of regional transport and local sources to ozone exceedances in Houston and Dallas: Comparison of results from a photochemical grid model to aircraft and surface measurements , 2009 .

[7]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[8]  D. Parrish,et al.  Magnitude, decadal changes, and impact of regional background ozone transported into the greater Houston, Texas, area. , 2013, Environmental science & technology.

[9]  L. Darby Cluster Analysis of Surface Winds in Houston, Texas, and the Impact of Wind Patterns on Ozone , 2005 .

[10]  Xin‐Zhong Liang,et al.  Impacts of the Bermuda High on Regional Climate and Ozone over the United States , 2013 .

[11]  Yunsoo Choi,et al.  Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas , 2014 .

[12]  Colm Sweeney,et al.  Long-term ozone trends at rural ozone monitoring sites across the United States, 1990-2010 , 2012 .

[13]  E. Williams,et al.  A BAD AIR DAY IN HOUSTON , 2005 .

[14]  T. Chai,et al.  Long-term NOx trends over large cities in the United States during the great recession: Comparison of satellite retrievals, ground observations, and emission inventories , 2015 .

[15]  Andreas Philipp,et al.  Classifications of Atmospheric Circulation Patterns , 2008, Annals of the New York Academy of Sciences.

[16]  R. Vet,et al.  Baseline levels and trends of ground level ozone in Canada and the United States , 2010 .

[17]  The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign , 2015 .

[18]  B. Jobson,et al.  Hydrocarbon source signatures in Houston, Texas: Influence of the petrochemical industry , 2004 .

[19]  Yunsoo Choi,et al.  Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas , 2015 .

[20]  Yunsoo Choi The impact of satellite-adjusted NO x emissions on simulated NO x and O 3 discrepancies in the urban and outflow areas of the Pacific and Lower Middle US , 2013 .

[21]  Joel L. Horowitz,et al.  Binary Response Models: Logits, Probits and Semiparametrics , 2001 .

[22]  Heather Simon,et al.  Ozone trends across the United States over a period of decreasing NOx and VOC emissions. , 2015, Environmental science & technology.

[23]  B. Rappenglück,et al.  An analysis of the vertical structure of the atmosphere and the upper‐level meteorology and their impact on surface ozone levels in Houston, Texas , 2008 .

[24]  Daniel S. Cohan,et al.  Slower ozone production in Houston, Texas following emission reductions: evidence from Texas Air Quality Studies in 2000 and 2006 , 2013 .

[25]  Shuai Pan,et al.  Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign , 2016 .

[26]  J. Dudhia,et al.  A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes , 2006 .

[27]  Ronald C. Cohen,et al.  Trends in OMI NO 2 observations over the United States: effects of emission control technology and the economic recession , 2012 .

[28]  L. Horowitz,et al.  Climate variability modulates western US ozone air quality in spring via deep stratospheric intrusions , 2015, Nature Communications.

[29]  Nicolas Theys,et al.  Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations , 2015 .

[30]  R. Yantosca,et al.  Positive but variable sensitivity of August surface ozone to large-scale warming in the southeast United States , 2015 .

[31]  David G. Streets,et al.  A space‐based, high‐resolution view of notable changes in urban NOx pollution around the world (2005–2014) , 2016 .

[32]  Zifa Wang,et al.  Modeling study of surface ozone source-receptor relationships in East Asia , 2016 .

[33]  Yunsoo Choi,et al.  Seasonal behavior and long-term trends of tropospheric ozone, its precursors and chemical conditions over Iran: A view from space , 2015 .

[34]  Sanaz Vajedian,et al.  Dust storm detection using random forests and physical-based approaches over the Middle East , 2015, Journal of Earth System Science.

[35]  J. Peischl,et al.  Characterization of NOx, SO2, ethene, and propene from industrial emission sources in Houston, Texas , 2010 .

[36]  Pius Lee,et al.  Summertime weekly cycles of observed and modeled NO x and O 3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States , 2012 .

[37]  S. Sillman The use of NO y , H2O2, and HNO3 as indicators for ozone‐NO x ‐hydrocarbon sensitivity in urban locations , 1995 .

[38]  Trissevgeni Stavrakou,et al.  Trend detection in satellite observations of formaldehyde tropospheric columns , 2010 .

[39]  Yunsoo Choi,et al.  Chemical condition and surface ozone in large cities of Texas during the last decade: Observational evidence from OMI, CAMS, and model analysis , 2015 .

[40]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1997 .

[41]  K. Mo,et al.  Influence of the Great Plains Low-Level Jet on Summertime Precipitation and Moisture Transport over the Central United States , 1997 .

[42]  William C. Skamarock,et al.  A time-split nonhydrostatic atmospheric model for weather research and forecasting applications , 2008, J. Comput. Phys..

[43]  Barry Lefer,et al.  Photochemical and meteorological relationships during the Texas-II Radical and Aerosol Measurement Project (TRAMP) , 2010 .

[44]  S. Oltmans,et al.  Characterizing changes in surface ozone levels in metropolitan and rural areas in the United States for 1980–2008 and 1994–2008 , 2010 .

[45]  D. Allen,et al.  Quantifying regional, seasonal and interannual contributions of environmental factors on isoprene and monoterpene emissions estimates over eastern Texas , 2015 .

[46]  R. Draxler,et al.  NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System , 2015 .